Comparing the evolution of canalyzing and threshold networks |
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Authors: | C Priester A Szejka B Drossel |
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Institution: | (1) Sony Corporation, 2-10-14 Osaki, Shinagawa, Tokyo, Japan |
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Abstract: | We study the influence of the type of update functions on the evolution of Boolean networks
under selection for dynamical robustness. The chosen types of functions are canalyzing functions and
threshold functions. Starting from a random initial network, we evolve the network by an adaptive
walk. During the first time period, where the networks evolve to the plateau of 100 percent fitness,
we find that both type of update functions give the same behavior, albeit for different network sizes
and connectedness. However, on the long run, as the networks continue to evolve on the fitness
plateau, the different types of update functions give rise to different network structure, due to
their different mutational robustness. When both types of update functions occur together, none of
them is preferred under long-term evolution. |
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Keywords: | |
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